{"title":"Association between triglyceride-glucose index and the risk of type 2 diabetes mellitus.","authors":"Hui Luo, Qin Yang, Haolan Xu, Shan Wu, Wenjing Wang, Ru Zhou, Yanlang Yang, Qi Yu","doi":"10.20945/2359-4292-2023-0493","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To assess the efficacy of the triglyceride-glucose (TyG) index in predicting type 2 diabetes mellitus (T2DM) in the general population.</p><p><strong>Subjects and methods: </strong>Baseline data were collected from a community population that underwent physical examination between 2015 and 2020. The TyG index was calculated via the following formula: TyG = Ln [fasting triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2]. Cox regression and stratified analyses were performed to evaluate the ability of the TyG score to predict the occurrence of diabetes.</p><p><strong>Results: </strong>In total, 8 576 subjects were ultimately included and divided into a T2DM group (n = 882) and a non-T2DM group (n = 7,694) according to the results of the 5-year follow-up. Adjustment for all covariates revealed that every 1-unit increase in the TyG index multiplied the risk of T2DM in all the participants (HR: 3.348; 95% CI: 3.004-3.731; P < 0.001). When TyG was divided into three quantiles, the risk of T2DM in the highest quantile was 6.412 times greater than that in the lowest quantile. Subgroup analysis revealed that the correlation was more pronounced in middle-aged and young adults, females, and eutrophic individuals (interaction P value < 0.001).</p><p><strong>Conclusion: </strong>The TyG index can be a strong predictor of T2DM and is more useful for estimating the risk of T2DM in young and middle-aged adults, females, and eutrophic people.</p>","PeriodicalId":54303,"journal":{"name":"Archives of Endocrinology Metabolism","volume":"69 2","pages":"e230493"},"PeriodicalIF":1.6000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12002598/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Endocrinology Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.20945/2359-4292-2023-0493","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To assess the efficacy of the triglyceride-glucose (TyG) index in predicting type 2 diabetes mellitus (T2DM) in the general population.
Subjects and methods: Baseline data were collected from a community population that underwent physical examination between 2015 and 2020. The TyG index was calculated via the following formula: TyG = Ln [fasting triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2]. Cox regression and stratified analyses were performed to evaluate the ability of the TyG score to predict the occurrence of diabetes.
Results: In total, 8 576 subjects were ultimately included and divided into a T2DM group (n = 882) and a non-T2DM group (n = 7,694) according to the results of the 5-year follow-up. Adjustment for all covariates revealed that every 1-unit increase in the TyG index multiplied the risk of T2DM in all the participants (HR: 3.348; 95% CI: 3.004-3.731; P < 0.001). When TyG was divided into three quantiles, the risk of T2DM in the highest quantile was 6.412 times greater than that in the lowest quantile. Subgroup analysis revealed that the correlation was more pronounced in middle-aged and young adults, females, and eutrophic individuals (interaction P value < 0.001).
Conclusion: The TyG index can be a strong predictor of T2DM and is more useful for estimating the risk of T2DM in young and middle-aged adults, females, and eutrophic people.
期刊介绍:
The Archives of Endocrinology and Metabolism - AE&M – is the official journal of the Brazilian Society of Endocrinology and Metabolism - SBEM, which is affiliated with the Brazilian Medical Association.
Edited since 1951, the AE&M aims at publishing articles on scientific themes in the basic translational and clinical area of Endocrinology and Metabolism. The printed version AE&M is published in 6 issues/year. The full electronic issue is open access in the SciELO - Scientific Electronic Library Online e at the AE&M site: www.aem-sbem.com.
From volume 59 on, the name was changed to Archives of Endocrinology and Metabolism, and it became mandatory for manuscripts to be submitted in English for the online issue. However, for the printed issue it is still optional for the articles to be sent in English or Portuguese.
The journal is published six times a year, with one issue every two months.